DJ Heeger, D Ress - Nature reviews neuroscience, 2002 - nature.com
In recent years, cognitive neuroscientists have taken great advantage of functional magnetic resonance imaging (fMRI) as a non-invasive method of measuring neuronal activity in the …
Bayesian model selection (BMS) is a powerful method for determining the most likely among a set of competing hypotheses about the mechanisms that generated observed data. BMS …
Fast fMRI enables the detection of neural dynamics over timescales of hundreds of milliseconds, suggesting it may provide a new avenue for studying subsecond neural …
RB Buxton - Reports on Progress in Physics, 2013 - iopscience.iop.org
Functional magnetic resonance imaging (fMRI) is a methodology for detecting dynamic patterns of activity in the working human brain. Although the initial discoveries that led to …
YR Gao, Y Ma, Q Zhang, AT Winder, Z Liang, L Antinori… - Neuroimage, 2017 - Elsevier
Functional magnetic resonance imaging (fMRI) has allowed the noninvasive study of task- based and resting-state brain dynamics in humans by inferring neural activity from blood …
SD Williams, B Setzer, NE Fultz, Z Valdiviezo… - PLoS …, 2023 - journals.plos.org
Cerebrospinal fluid (CSF) flow maintains healthy brain homeostasis, facilitating solute transport and the exchange of brain waste products. CSF flow is thus important for brain …
With the rapid growth of neuroimaging research and accumulation of neuroinformatic databases the synthesis of consensus findings using meta-analysis is becoming …
The classical model of blood oxygen level-dependent (BOLD) responses by Buxton et al.[Buxton, RB, Wong, EC, Frank, LR, 1998. Dynamics of blood flow and oxygenation …
Functional magnetic resonance imaging adaptation (fMRIa) is an increasingly popular method that aims to provide insight into the functional properties of subpopulations of …